{"id":"https://openalex.org/W2294809246","doi":"https://doi.org/10.1007/978-3-662-48577-4_5","title":"Time Series Clustering from High Dimensional Data","display_name":"Time Series Clustering from High Dimensional Data","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2294809246","doi":"https://doi.org/10.1007/978-3-662-48577-4_5","mag":"2294809246"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-662-48577-4_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-662-48577-4_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024394995","display_name":"Carlo Drago","orcid":"https://orcid.org/0000-0002-3920-0267"},"institutions":[{"id":"https://openalex.org/I4210124295","display_name":"University Niccol\u00f2 Cusano","ror":"https://ror.org/032c3ae16","country_code":"IT","type":"education","lineage":["https://openalex.org/I4210124295"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Carlo Drago","raw_affiliation_strings":["Universit\u00e1 degli Studi \u201cNiccolo Cusano\u201d, Via Don Carlo Gnocchi 3, 166, Rome, Italy","Universit\u00e1 degli Studi \"Niccolo Cusano\", Via Don Carlo Gnocchi 3, 166, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e1 degli Studi \u201cNiccolo Cusano\u201d, Via Don Carlo Gnocchi 3, 166, Rome, Italy","institution_ids":["https://openalex.org/I4210124295"]},{"raw_affiliation_string":"Universit\u00e1 degli Studi \"Niccolo Cusano\", Via Don Carlo Gnocchi 3, 166, Rome, Italy","institution_ids":["https://openalex.org/I4210124295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056805374","display_name":"Germana Scepi","orcid":null},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Germana Scepi","raw_affiliation_strings":["Department of Economics and Statistics, Universit\u00e1 degli Studi di Napoli, Via Cinthia. 17, 80126, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Economics and Statistics, Universit\u00e1 degli Studi di Napoli, Via Cinthia. 17, 80126, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024394995"],"corresponding_institution_ids":["https://openalex.org/I4210124295"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.726,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84770742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"72","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9431999921798706,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8565466403961182},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7750991582870483},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7005344033241272},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.632240891456604},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.548137366771698},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5304977893829346},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.5073234438896179},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.493415504693985},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24640831351280212},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07086646556854248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8565466403961182},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7750991582870483},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7005344033241272},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.632240891456604},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.548137366771698},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5304977893829346},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.5073234438896179},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.493415504693985},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24640831351280212},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07086646556854248},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-662-48577-4_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-662-48577-4_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W57842594","https://openalex.org/W62504723","https://openalex.org/W93027189","https://openalex.org/W140867740","https://openalex.org/W162775576","https://openalex.org/W1482555119","https://openalex.org/W1489950266","https://openalex.org/W1575493505","https://openalex.org/W1580301383","https://openalex.org/W1586660894","https://openalex.org/W1587515898","https://openalex.org/W1679913846","https://openalex.org/W1680622244","https://openalex.org/W1815777166","https://openalex.org/W1885937115","https://openalex.org/W1958600167","https://openalex.org/W1989280111","https://openalex.org/W1991699532","https://openalex.org/W2018360988","https://openalex.org/W2072242542","https://openalex.org/W2074169904","https://openalex.org/W2079554354","https://openalex.org/W2096566523","https://openalex.org/W2097747115","https://openalex.org/W2114882275","https://openalex.org/W2145680370","https://openalex.org/W2156004841","https://openalex.org/W2158408140","https://openalex.org/W2215756333","https://openalex.org/W2220719079","https://openalex.org/W2280228740","https://openalex.org/W2503478582","https://openalex.org/W2613001510","https://openalex.org/W3139701703","https://openalex.org/W4230080154","https://openalex.org/W4235500030","https://openalex.org/W4256581869","https://openalex.org/W6631065984"],"related_works":["https://openalex.org/W4385270139","https://openalex.org/W3080491161","https://openalex.org/W2622688551","https://openalex.org/W2111119584","https://openalex.org/W1550175370","https://openalex.org/W1990205660","https://openalex.org/W3186815950","https://openalex.org/W2590034888","https://openalex.org/W4292621762","https://openalex.org/W3098102082"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
